Matrox Imaging Library (MIL) Tools
3D processing tools
3D surface matcher
MIL X includes a tool for finding a surface model – including multiple occurrences – at wide-ranging orientations in a point cloud. A surface model is defined from a point cloud obtained from a 3D camera or sensor, or from a CAD (PLY or STL) file. Various controls are provided to influence the search accuracy, robustness, and speed. Search results include the number of occurrences found and for each occurrence, the score, error, number of points, center coordinates, and estimated pose.
3D shape finding tool
MIL X provides a tool for locating specific shapes – cylinders, (hemi)spheres, rectangular planes, and boxes – in a point cloud. The shape to find is specified either numerically or from one or two previously defined elementary objects.. Several settings are provided to tune the finding process accuracy, robustness, and speed. Results include the number of occurrences found and for each occurrence, the score, error, number of points, and center coordinates. Additional results include the radius for spheres and cylinders, length(s) for cylinders, rectangular planes, and boxes, central axis and bases for cylinders, normal unit vector for rectangular planes, and number of visible faces for boxes.
3D blob analysis tool
3D metrology tools
MIL X includes a toolset for 3D Metrology. Within this toolset, one tool fits a point cloud or depth map to a cylinder, line, plane, or sphere. Additional tools compute various distances and statistics between point clouds, depth maps, and fitted or user-defined elementary objects. Another tool is available to determine volume in a variety of ways.
3D registration tool
3D profilometry tools
MIL X also contains tools for 3D Profilometry using a discrete sheet-of-light source (i.e., laser) and a conventional 2D camera. A calculator is included to establish the camera, lens, and alignment needed to achieve the desired measurement resolution and range. MIL X provides straightforward calibration methods and associated tools to produce a point cloud or depth map. The calibration carried out in MIL X can combine multiple sheet-of-light sources and 2D camera pairs to work as one, thus avoiding the need for post alignment and merger. Such configurations are useful to limit occlusion, increase scan density, and image the whole volume of an object. Moreover, MIL X makes use of a unique derivative-based algorithm for beam extraction or peak detection, which is both more accurate and robust than traditional ones based on the center of gravity.